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Optimal adaptive sequential designs for crossover bioequivalence studies

2015; Wiley; Volume: 15; Issue: 1 Linguagem: Inglês

10.1002/pst.1721

1539-1612

Jialin Xu, Charles Audet, Charles E. DiLiberti, Walter W. Hauck, Timothy H. Montague, Alan Parr, Diane Potvin, Donald J. Schuirmann,

Advanced Multi-Objective Optimization Algorithms

In prior works, this group demonstrated the feasibility of valid adaptive sequential designs for crossover bioequivalence studies. In this paper, we extend the prior work to optimize adaptive sequential designs over a range of geometric mean test/reference ratios (GMRs) of 70–143% within each of two ranges of intra‐subject coefficient of variation (10–30% and 30–55%). These designs also introduce a futility decision for stopping the study after the first stage if there is sufficiently low likelihood of meeting bioequivalence criteria if the second stage were completed, as well as an upper limit on total study size. The optimized designs exhibited substantially improved performance characteristics over our previous adaptive sequential designs. Even though the optimized designs avoided undue inflation of type I error and maintained power at 80%, their average sample sizes were similar to or less than those of conventional single stage designs. Copyright © 2015 John Wiley & Sons, Ltd.